6533b7cefe1ef96bd1257040
RESEARCH PRODUCT
Data from the GIPEyOP online election poll for the 2015 Spanish General election.
Ruben Cuñat-gimenezSalvador Carrasco-arroyoVicente Coll-serranoJose M. Pavíasubject
media_common.quotation_subjectComputer-assisted web interviewinglcsh:Computer applications to medicine. Medical informaticsPublic opinion03 medical and health sciencesPolitics0302 clinical medicineSocial ScienceVotingPolitical scienceGeneral electionlcsh:Science (General)Public opinion030304 developmental biologymedia_commonOnline surveys0303 health sciencesMultidisciplinarybusiness.industrySampling (statistics)Public relationsEleccionsAusteritySpanish General electionslcsh:R858-859.7Votingbusiness030217 neurology & neurosurgeryElection pollslcsh:Q1-390Anonymitydescription
Abstract The general elections of 2015 in Spain took place in the middle of the Great Recession after several years of austerity economic policies. This election caused a political earthquake that shook the Spanish party system. During the campaign of that election, GIPEyOP (Elections and Public Opinion Research Group from University of Valencia) conducted a survey to collect relevant data about the electorate beliefs, intentions and motivations. This article describes the data set attained, which comprises 71 variables after removing, to ensure full anonymity, those variables that would potentially allow respondents to be identified. Respondents answered a self-administered online questionnaire and were recruited using chain sampling. A total of 14,261 valid observations were collected between 27th November and 18th December 2015. GIPEyOP employed the data collected up to 14th December to deliver a prediction of the election outcomes during that election campaign. Among other issues, this data set may be reused to assess theories of expectations’ formation, to spot how social networks spread geographically and to measure gender, age and education technological gap of the Spanish population.
year | journal | country | edition | language |
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2020-08-01 | Data in Brief |